[ECCV'24] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.
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Updated
Dec 3, 2024 - Python
[ECCV'24] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.
🖼️ A tool for efficient processing of spectral images with Python.
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
semillero computer vision
This repository is the official PyTorch implementation of "Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images" (TCI 2021)
JR2net: A Joint Representation and Recovery Network for Compressive Spectral Imaging
This is a repository for georeferencing of pushbroom hyperspectral imagery and includes ray-intersection, orthorectification and a coregistration module (at dev stage).
Neural network -based thermal excess correction for resolved asteroid spectral radiances in near-infrared
JR2net: A Joint Representation and Recovery Network for Compressive Spectral Imaging
A Spectral Ray tracer in Haskell
Deep Low-Dimensional Spectral Image Representation For Compressive Spectral Reconstruction
Code for applying hyperspectral data reduction in deep learning
PoliBrush is a freely distributed, stand-alone software designed for teaching exploratory multivariate analysis in the frame of color RGB and spectral imaging. PoliBrush implements principal component analysis (PCA) as its core method.
Simple viewer for spectral images supporting customizable image filtering pipelines
Distributed multicomponent lineshape fitting routines and benchmarks for multidimensional spectroscopy and spectral imaging
Presentation slides for an introduction on technical imaging of cultural heritage objects
Field-Scale UAV-Based Multispectral Phenomics: Leveraging Machine Learning, Explainable AI, and Hybrid Feature Engi-neering for Enhancements in potato phenotyping
Enhancing Water-Deficient Potato Plant Identification: Assessing Realistic Performance of Attention-Based Deep Neural Networks and Hyperspectral Imaging for Agricultural Applications
Code for multi-channel tomographic reconstruction with Multi-Channel DART (MC-DART)
Design and capture compressive measurements with those compressive measurements classification in performed.
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